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A leading micromobility company in Canada is seeking an Analytics Engineer to lead data pipeline and modeling efforts. The ideal candidate will have expertise in SQL and data warehousing concepts, along with experience in big data technologies. You will closely collaborate with engineering, ops, and finance teams to enhance data strategy and ensure efficient data solutions. This position offers competitive benefits and the opportunity to contribute to innovative micromobility solutions.
Bird launched micromobility. Now we’re shaping its future.
We’re Bird, and we’re on a mission to transform the way the world moves one ride at a time. Our products, services, and people share one common goal: to make cities more livable by empowering people and communities everywhere to move freely, discover new possibilities, and create a cleaner, more connected future. To cleaner air. To calmer streets. To cities built for people.
Who We Are
Bird is a global leader in micromobility, dedicated to shaping the future of urban movement. Our cleaner, affordable, and on-demand mobility solutions are available in over 200 cities worldwide.
We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates, leveraging our experience and safety-first technology to help them meet their shared mobility and climate goals and provide a reliable, affordable, and responsible transportation option for people who live and work there.
Our award-winning electric vehicles have empowered more than eighty-seven million rides in cities around the world and helped riders take carbon-free trips in more than 200 cities globally. And our teams are constantly pushing boundaries and challenging the status quo in pursuit of a brighter future.
Job Summary
The Data Team at Bird is an integral component of every facet of the business from strategic initiatives to tactical effectiveness, and is a key resource in developing Bird's product and processes. As an Analytics Engineer, you will lead data pipeline, data modeling, architecture and data strategy-related efforts for the Data team at Bird working in close partnership with the engineering team. You’re a seasoned analytics professional and engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service reporting and discovery. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions. You will work closely with cross-functional partners such as engineering, ops and finance to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Bird team to drive business strategy.
Responsibilities
Must Haves
Highly Desired
Every time you hop on a Bird, you’re helping build a more livable city. We focus on four core pillars that reflect the impact of every ride:
Culture at Bird
We\'re an ambitious, smart, and open-minded team that is passionate about our mission. Each day is unlike the last, as we’re constantly moving forward, challenging each other, and working together to create the future of micro-mobility.
Perks Up!
We want you to succeed and thrive here, so we offer a few sweet perks:
Bird is the world
Bird stands for a culture of inclusion. We celebrate different backgrounds, experiences, and perspectives —encouraging everyone to bring their authentic selves to work. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions.
For these reasons and more, Bird is a proud equal employment opportunity employer. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment.
Sound like a place you’d like to work? Sweet. Let’s chat.
#LI-remote
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.